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- نوع العضو: عضو عادي
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- اخر تحديث: ٨ فبراير، ٢٠٢٤
- انضم: ٣١ يناير، ٢٠٢٤
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علق Leo Smith على '.٨ فبراير، ٢٠٢٤
Exceptional Experience with Professional Network Security Assignment Help
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- ٣ فبراير، ٢٠٢٤ ·
Hey fellow coders! Can someone help me on this?
Write a function using Dynamic Programming to solve the Traveling Salesman Problem. Input a list of cities with coordinates and get the optimal route plus the minimum distance.-
ردت Leo Smith على هذا.
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thomas brown Hey fellow coders! Can someone help me on this?
Write a function using Dynamic Programming to solve the Traveling Salesman Problem. Input a list of cities with coordinates and get the optimal route plus the minimum distance.
import itertools
import sys
Write a function using Dynamic Programming to solve the Traveling Salesman Problem. Input a list of cities with coordinates and get the optimal route plus the minimum distance.
import itertools
import sys
def distance(city1, city2):
"""
Calculate the Euclidean distance between two cities.
"""
x1, y1 = city1
x2, y2 = city2
return ((x1 - x2) ** 2 + (y1 - y2) ** 2) ** 0.5
def tsp_dynamic_programming(cities):
"""
Solve the Traveling Salesman Problem using Dynamic Programming.
"""
n = len(cities)
all_cities = set(range
)
# Create a memoization table to store optimal distances
memo = {}
# Base case: starting from city 0, with no other cities visited
memo[(frozenset([0]), 0)] = 0
# Iterate over all subsets of cities and compute the optimal route
for r in range(1, n):
for subset in itertools.combinations(all_cities - {0}, r):
subset = frozenset(subset)
for k in... أقل- ٤ فبراير، ٢٠٢٤
- · ١ مثل هذا
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thomas brown Hello fellow coding enthusiasts!
Lets solve this classic problem involves finding the most efficient route that visits each city exactly once and returns to the original city while minimizing the total distance traveled.
Here's a Python function to...أكثر منHello fellow coding enthusiasts!
Lets solve this classic problem involves finding the most efficient route that visits each city exactly once and returns to the original city while minimizing the total distance traveled.
Here's a Python function to tackle the Traveling Salesman Problem:
import itertools
def calculate_distance(city1, city2):
# Assuming city1 and city2 are tuples containing (x, y) coordinates
return ((city1[0] - city2[0]) ** 2 + (city1[1] - city2[1]) ** 2) ** 0.5
def tsp_dynamic_programming(cities):
n = len(cities)
all_cities = set(range)
# Create a memoization table to store optimal distances
memo = {}
def tsp_helper(curr_city, remaining_cities):
if not remaining_cities:
return 0, [curr_city]
if (curr_city, remaining_cities) in memo:
return memo[(curr_city, remaining_cities)]
min_distance = float('inf')
min_path = None
for next_city in remaining_cities:
distance_to_next =... أقل- ٥ فبراير، ٢٠٢٤
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From the moment I landed on their website, I was impressed by the user-friendly interface. Navigating through the different sections and placing an order for Cryptography Assignment Help was a breeze. The transparency in pricing and the seamless process from order placement to assignment delivery contributed to a stress-free experience.
What truly sets ProgrammingHomeworkHelp.com apart is the caliber of their experts. I was paired with a highly knowledgeable professional who not only demonstrated expertise in cryptography but also a keen understanding of the specific requirements of my assignment. Their commitment to delivering top-notch solutions was evident in the detailed and... أقل - لقد وقعت Leo Smith للتو. قل مرحبا!٣١ يناير، ٢٠٢٤
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